Triple

T20556743
Position Surface form Disambiguated ID Type / Status
Subject Jinju National Museum E504738 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Jinju-si NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jinju-si | Statement: [Jinju National Museum, locatedInAdministrativeTerritory, Jinju-si]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jinju-si
Context triple: [Jinju National Museum, locatedInAdministrativeTerritory, Jinju-si]
  • A. Jinju-si chosen
    Jinju-si is a city in South Gyeongsang Province, South Korea, known for its historic Jinju Fortress and the annual Namgang Yudeung (Lantern) Festival.
  • B. Kyŏngju-si
    Kyŏngju-si is a historic coastal city in southeastern South Korea renowned for its rich Silla Dynasty heritage, ancient temples, and numerous UNESCO World Heritage sites.
  • C. Gimcheon
    Gimcheon is a city in North Gyeongsang Province, South Korea, known as a regional transportation hub and administrative center.
  • D. Gunsan
    Gunsan is a coastal city in North Jeolla Province, South Korea, known for its port, industrial facilities, and longstanding association with nearby military air operations.
  • E. Gijeon
    Gijeon is an alternative name for the Seoul Capital Area, the densely populated metropolitan region surrounding South Korea’s capital city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5de9c008190b8620628fb285e90 completed April 20, 2026, 10:17 p.m.
Created at: April 16, 2026, 11:38 a.m.